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In-Home Passive Sensor Data Collection and Its Implications for Social Media Research

Perspectives of Community Women in Rural South Africa

Bibliographic Data

ID12806873
AuthorsAlastair Van Heerden (0000-0003-2530-6885, Human Sciences Research Council, corresponding author), Douglas Wassenaar (0000-0003-0839-9231, University of KwaZulu-Natal), Zaynab Essack (0000-0002-8867-3415, University of KwaZulu-Natal), Khanya Vilakazi (0000-0001-7905-9985, Human Sciences Research Council), B A Kohrt (0000-0002-3829-4820, George Washington University)
Year2019
Volume15
Issue1-2
Pages97-107
Publication date2019-10-21
Open AccessYes
TypeARTICLE
VenueJournal of Empirical Research on Human Research Ethics (JOURNAL)
Journal identifiersISSN: 1556-2646 • E-ISSN: 1556-2654
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/1556264619881334
PMID31631742
OpenAlexW2981162555
LanguageEN
Citations received3
References cited36

There has been a recent increase in debates on the ethics of social media research, passive sensor data collection, and big data analytics. However, little evidence exists to describe how people experience and understand these applications of technology. This study aimed to passively collect data from mobile phone sensors, lapel cameras, and Bluetooth beacons to assess people's understanding and acceptance of these technologies. Seven households were purposefully sampled and data collected for 10 days. The study generated 48 hr of audio data and 30,000 images. After participant review, the data were destroyed and in-depth interviews conducted. Participants found the data collected acceptable and reported willingness to participate in similar studies. Key risks included that the camera could capture nudity and sex acts, but family review of footage before sharing helped reduce concerns. The Emanuel et al. ethics framework was found to accommodate the concerns and perspectives of study participants

Data collection · Economic growth · Political science · Public relations · Rural community · Social media · Social research · Social science · Socioeconomics · Sociology · ICT in Developing Communities · Innovative Human-Technology Interaction · Law · Mobile Health and mHealth Applications · Psychology

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Citations per year0.6
Citation span2021 - 2026 (6)
Highly citedNo

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